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Hands-On Healthcare Data
Taming the Complexity of Real-World Data
Taschenbuch von Andrew Nguyen
Sprache: Englisch

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Beschreibung
"Healthcare is the next frontier for data science. Using the latest in machine learning, deep learning, and natural language processing, you'll be able to solve healthcare's most pressing problems: reducing cost of care, ensuring patients get the best treatment, and increasing accessibility for the underserved -- once you learn how to access and make sense of all that data. This book provides pragmatic and hands-on solutions for working with healthcare data, from data extraction to cleaning and normalizing to feature engineering. Author Andrew Nguyen covers specific ML and deep learning examples with a focus on producing high-quality data. You'll discover how graph technologies help you connect disparate data sources so you can solve healthcare's most challenging problems using advanced analytics"-- Back cover.
"Healthcare is the next frontier for data science. Using the latest in machine learning, deep learning, and natural language processing, you'll be able to solve healthcare's most pressing problems: reducing cost of care, ensuring patients get the best treatment, and increasing accessibility for the underserved -- once you learn how to access and make sense of all that data. This book provides pragmatic and hands-on solutions for working with healthcare data, from data extraction to cleaning and normalizing to feature engineering. Author Andrew Nguyen covers specific ML and deep learning examples with a focus on producing high-quality data. You'll discover how graph technologies help you connect disparate data sources so you can solve healthcare's most challenging problems using advanced analytics"-- Back cover.
Über den Autor

Andrew Nguyen has been working at the intersection of healthcare data and machine learning for over a decade. He quickly discovered graph databases and has been using them to harmonize disparate data sources for nearly as long. Andrew holds a PhD in Biological and Medical Informatics from UCSF and a BS in Electrical and Computer Engineering from UCSD. He has worked for a variety of organizations, from academia to startups. He is currently a Principal Medical Informatics Architect at one of the largest biopharma companies in the world, where he is designing scalable solutions to harmonize healthcare real world data sources for machine learning and advanced analytics.

Details
Erscheinungsjahr: 2022
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 250
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781098112929
ISBN-10: 109811292X
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Nguyen, Andrew
Hersteller: O'Reilly Media
Maße: 230 x 175 x 15 mm
Von/Mit: Andrew Nguyen
Erscheinungsdatum: 23.08.2022
Gewicht: 0,424 kg
preigu-id: 121180455
Über den Autor

Andrew Nguyen has been working at the intersection of healthcare data and machine learning for over a decade. He quickly discovered graph databases and has been using them to harmonize disparate data sources for nearly as long. Andrew holds a PhD in Biological and Medical Informatics from UCSF and a BS in Electrical and Computer Engineering from UCSD. He has worked for a variety of organizations, from academia to startups. He is currently a Principal Medical Informatics Architect at one of the largest biopharma companies in the world, where he is designing scalable solutions to harmonize healthcare real world data sources for machine learning and advanced analytics.

Details
Erscheinungsjahr: 2022
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 250
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781098112929
ISBN-10: 109811292X
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Nguyen, Andrew
Hersteller: O'Reilly Media
Maße: 230 x 175 x 15 mm
Von/Mit: Andrew Nguyen
Erscheinungsdatum: 23.08.2022
Gewicht: 0,424 kg
preigu-id: 121180455
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